DocumentCode :
235167
Title :
Continuous user identification via touch and movement behavioral biometrics
Author :
Cheng Bo ; Lan Zhang ; Taeho Jung ; Junze Han ; Xiang-Yang Li ; Yu Wang
Author_Institution :
Dept. of Comput. Sci., Univ. of North Carolina at Charlotte, Charlotte, NC, USA
fYear :
2014
fDate :
5-7 Dec. 2014
Firstpage :
1
Lastpage :
8
Abstract :
With the increased popularity of smartphones, various security threats and privacy leakages targeting them are discovered and investigated. In this work, we present SilentSense, a framework to authenticate users silently and transparently by exploiting dynamics mined from the user touch behavior biometrics and the micro-movement of the device caused by user´s screen-touch actions. We build a “touch-based biometrics” model of the owner by extracting some principle features, and then verify whether the current user is the owner or guest/attacker. When using the smartphone, some unique operating dynamics of the user is detected and learnt by collecting the sensor data and touch events silently. When users are mobile, the micro-movement of mobile devices caused by touch is suppressed by that due to the large scale user-movement which will render the touch-based biometrics ineffective. To address this, we integrate a movement-based biometrics for each user with previous touch-based biometrics. We conduct extensive evaluations of our approaches on the Android smartphone, we show that the user identification accuracy is over 99%.
Keywords :
biometrics (access control); data privacy; message authentication; smart phones; Android smartphone; SilentSense; continuous user identification; large scale user-movement; movement behavioral biometrics; privacy leakage; screen-touch action; security threat; smartphones; touch behavioral biometrics; user authentication; Acceleration; Accuracy; Biometrics (access control); Delays; Feature extraction; Legged locomotion; Privacy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Performance Computing and Communications Conference (IPCCC), 2014 IEEE International
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/PCCC.2014.7017067
Filename :
7017067
Link To Document :
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